PricewaterhouseCoopers LLP· Professional Services· Oct 16, 2026 · 12d ago
NY-New York, NY
Location
In office
Work mode
Full-time
Schedule
Senior
Level
$77K–$202K
Compensation
3+ years exp
Experience
Job description
The Opportunity
As an AI & GenAI Data Scientist-Senior Associate you will leverage advanced analytics, statistical modeling, exploratory analysis, and data visualization to help solve business problems and inform decisions within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while navigating ambiguity and deepening your technical skills.
In this role at PwC, you will contribute to AI-driven automation and cognitive solutions by turning large datasets into insights, supporting data-driven decision making, and developing deliverables that align with client needs and broader project objectives.
Responsibilities
- Analyzing complex client problems using statistical modeling, exploratory analysis, and data visualization techniques
- Developing data science workflows that translate large data sets into actionable insights for business decisions
- Building machine learning and predictive modeling solutions using Python, R, TensorFlow, or Scikit-learn
- Collaborating on AI and GenAI use cases that support data-driven transformation and advanced analytics delivery
- Designing, testing, and refining data models, data pipelines, and data quality checks for analytical solutions
- Interpreting results and recommendations for client teams through clear technical documentation and visual storytelling
- Applying AI fluency, analytical thinking, and data mining skills to identify patterns, risks, and opportunities
- Mentoring junior team members, reviewing assigned deliverables, and supporting their growth in technical skills
- Managing assigned workstreams while adapting to changing priorities, ambiguity, and client needs
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating AI and GenAI data science project delivery in client settings
- Applying machine learning, NLP, and statistical analysis methods
- Interpreting complex data to shape recommendations and insights
- Collaborating across teams while managing ambiguity and shifting priorities
- Mentoring junior team members and reviewing workstream deliverables
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: pwc.to
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: pwc.to
Requirements
Must-haves
Analyzing complex client problems using statistical modeling, exploratory analysis, and data visualization techniques
Developing data science workflows that translate large data sets into actionable insights for business decisions
Building machine learning and predictive modeling solutions using Python, R, TensorFlow, or Scikit-learn
Collaborating on AI and GenAI use cases that support data-driven transformation and advanced analytics delivery
Designing, testing, and refining data models, data pipelines, and data quality checks for analytical solutions
Interpreting results and recommendations for client teams through clear technical documentation and visual storytelling
Applying AI fluency, analytical thinking, and data mining skills to identify patterns, risks, and opportunities
Mentoring junior team members, reviewing assigned deliverables, and supporting their growth in technical skills
Managing assigned workstreams while adapting to changing priorities, ambiguity, and client needs
What You Must Have
At least a Bachelor's degree
At least 3 years of experience
What Sets You Apart
Demonstrating AI and GenAI data science project delivery in client settings
Applying machine learning, NLP, and statistical analysis methods
Interpreting complex data to shape recommendations and insights
Collaborating across teams while managing ambiguity and shifting priorities
Mentoring junior team members and reviewing workstream deliverables
Nice-to-haves
None flagged.
Application prep
Use the role’s language and application details while tailoring your materials.